Profile

- Minimum 3 years of experience in product management | product ownership.

- Minimum 1 year of solid hands-on experience with data products, data platforms or analytics products.

- Working knowledge of lakehouse | medallion architecture, data modelling and data quality concepts.

- At least 1 year of hands-on exposure to Azure data services including Azure Databricks, ADLS, Synapse and Unity Catalog.

- Familiarity with MCP (Model Context Protocol) and how AI agents consume data and tools is highly preferredUnderstanding of GenAI use cases and the data they require; hands-on GenAI product experience is preferable.

- Comfortable producing PRDs, user stories, acceptance criteria, KPIs and release plans in Azure DevOps.

- Experience having delivered data products end-to-end is mandatory (and must be shared during interview)Excellent communication skills in English.

Responsabilities

- Own the definition, planning and delivery of data products – from discovery through release and lifecycle management.

- Define and manage products that expose certified data and functions to applications and AI agents through MCP.





- Translate business goals and discovery insights into product requirements, user stories, acceptance criteria and release plans.

- Define data product contracts: ownership, grain, quality SLAs, naming conventions, lineage and source-change handling.

- Work with the Azure platform and components running on it – ADLS, Delta Lake | Databricks, Synapse, Unity Catalog.

- Coordinate cross-functional execution with business, data engineering, architecture, security and compliance.

- Think in terms of reusable products and components (not only in one project but across projects)

- Add | Manage | Document project user stories to Azure Boards.

- Validate outcomes with data – adoption, quality and usage KPIs – and follow Responsible AI and compliance guidelines.

Sueldo: $60,000.00 al mes

Beneficios

- Programa de referidos

- Confiable de gastos médicos

- Seguro de gastos médicos mayores

- Trabajo desde casa

Lugar de trabajo: Empleo remoto

📌 Data Product Manager | Data & AI (México)
🏢 Orbitware
📍 México